Microsoft Threat Intelligence identified an active multi-stage intrusion campaign targeting hospitality organizations in ...

Abstract: This study investigates the performance of discrete-time systems under quantized iterative learning control. An encoding–decoding mechanism is combined with a spherical polar ...

IntroductionOn May 14, 2026, the Zscaler ThreatLabz team identified unusually high activity associated with the threat actor SmartApeSG to deploy malware. During our examination, we discovered ...

A student must be able to decode before they can truly build reading fluency or comprehension. That’s not a preference. It’s how reading works. Yet in IEP meetings, I often see teams rush toward ...

The company is at odds with the Pentagon over how its A.I. will be used. The conflict has its roots in the foundational plan for Anthropic. By Cade Metz Reporting from San Francisco The Defense ...

Summary: A new brain decoding method called mind captioning can generate accurate text descriptions of what a person is seeing or recalling—without relying on the brain’s language system. Instead, it ...

Most experimental brain-computer interfaces (BCIs) that have been used for synthesizing human speech have been implanted in the areas of the brain that translate the intention to speak into the muscle ...

Abstract: Speculative decoding has emerged as a promising optimization strategy to accelerate generative AI inference. This technique enhances the autoregressive decoding phase by using a smaller ...

Despite expectations that students master basic reading skills by third grade, many continue to struggle with reading into upper elementary school and beyond. A new study commissioned by the Advanced ...

Large language models (LLMs) have changed the game for machine translation (MT). LLMs vary in architecture, ranging from decoder-only designs to encoder-decoder frameworks. Encoder-decoder models, ...